Back to jobs

Senior Staff - Fraud Analytics Consultant (Senior Consultant)

Pay
Pay not listedSimilar roles state $94K–$145K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Prepare brief technical documents, reports, and analytical summaries

  • Review fraud-related data to identify trends, issues, and follow-up actions

  • Support data preparation, data quality review, and dashboard development

  • Track assigned tasks and coordinate status inputs from team members

  • Document analytical methods and procedures for quality control

From the employer’s posting
Write brief technical documents, reports, internal work products, analytical summaries, and recurring deliverables
Support review of fraud-related data, operational information, findings, and reports to identify trends, issues, and follow-up actions.
Support data preparation, data quality review, reporting, dashboard development, and documentation activities
Track assigned tasks, coordinate status inputs, and support clear, concise documentation
Document analytical methods, findings, procedures, and work products to support quality control

What you’ll bring

All qualifications

Core experience

  • Ability to obtain and maintain a Public Trust clearance.
  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field.
  • Experience preparing technical documents, reports, briefings, analytical summaries, or recurring project deliverables.
  • Experience applying standard professional concepts and methodologies to solve structured problems and evaluate identifiable factors.
  • Experience supporting analysis of datasets, operational information, or system activity to identify trends, anomalies, patterns, or correlations.
  • Experience coordinating inputs, tracking assigned tasks, documenting work products, and supporting project or analytics teams.

Preferred experience

  • Experience supporting fraud analytics programs, financial crime initiatives, investigations support, reporting activities, risk analytics, or federal consulting environments.
  • Experience supporting data preparation, data quality review, extract, transform, load activities, reporting, or analytical dataset development.
  • Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.
  • Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.
Qualification wording
Ability to obtain and maintain a Public Trust clearance.
Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field.
Experience preparing technical documents, reports, briefings, analytical summaries, or recurring project deliverables.
Experience applying standard professional concepts and methodologies to solve structured problems and evaluate identifiable factors.
Experience supporting analysis of datasets, operational information, or system activity to identify trends, anomalies, patterns, or correlations.
Experience coordinating inputs, tracking assigned tasks, documenting work products, and supporting project or analytics teams.
Experience supporting fraud analytics programs, financial crime initiatives, investigations support, reporting activities, risk analytics, or federal consulting environments.
Experience supporting data preparation, data quality review, extract, transform, load activities, reporting, or analytical dataset development.
Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.
Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.
Education & alternatives
- Ability to obtain and maintain a Public Trust clearance. - Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field. - Three (3) or more years of professional experience supporting fraud analytics programs, data analysis, reporting, technical documentation, investigations, business operations, or related consulting activities.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

In the employer’s words · Read in context

Apply at Guidehouse

Posting record

Report an error
Status in our records
Live
First seen by us
Aug 17, 202686 days ago
Recorded sightings
175
Last seen by us
Nov 10, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.1K–$145K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,018 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 86

Up longer than most. Similar jobs usually come down between day 5 and day 43.

Well past Guidehouse’s usual: its jobs come down by about day 30.

From 13,669 similar postings that came down, and 149 of Guidehouse’s. Coming down is not always a hire.

Guidehouse is hiring

102 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • R
  • Shell
  • SQL
  • Elasticsearch
  • Excel
  • Power BI
  • Spark
  • Tableau
Where the posting names them
- Experience supporting data preparation, data quality review, extract, transform, load activities, reporting, or analytical dataset development. - Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. - Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.
- Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. - Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools. - Experience supporting research, documentation, recurring reporting, stakeholder coordination, or technical writing.

Your next step

Complete your application on guidehouse.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 966, the most 1,494, and the latest week had 1,494.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Job Family:

Data Science & Analysis


Travel Required:

None


Clearance Required:

Active Public Trust

What You Will Do:

The Senior Staff Fraud Analytics Consultant will support fraud analytics operations, technical documentation, reporting, stakeholder coordination, and operational support activities as part of a multidisciplinary team. This position will solve structured and diverse problems using standard professional concepts and methodologies, prepare brief technical documents, support recurring work products, and contribute to delivery of analytics, reporting, and project support activities under general direction. 

  • Support fraud analytics operations, project documentation, reporting, operational coordination, and recurring deliverables across multidisciplinary workstreams. 

  • Write brief technical documents, reports, internal work products, analytical summaries, and recurring deliverables supporting fraud analytics and operational reporting. 

  • Apply standard professional concepts and methodologies to solve structured and diverse problems requiring evaluation of identifiable factors. 

  • Support review of fraud-related data, operational information, findings, and reports to identify trends, issues, and follow-up actions. 

  • Assist with requirements development, documentation of analytical processes, preparation of recurring deliverables, and coordination of inputs from team members. 

  • Support data preparation, data quality review, reporting, dashboard development, and documentation activities that enable analytics and decision-making. 

  • Track assigned tasks, coordinate status inputs, and support clear, concise documentation aligned to client standards and project requirements. 

  • Collaborate with analysts, technical staff, project leads, and stakeholders to clarify requirements, exchange information, and support delivery of assigned work products. 

  • Document analytical methods, findings, procedures, and work products to support quality control, knowledge sharing, and operational continuity. 

  • Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members. 



What You Will Need:

  • Ability to obtain and maintain a Public Trust clearance. 

  • Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a related field. 

  • Three (3) or more years of professional experience supporting fraud analytics programs, data analysis, reporting, technical documentation, investigations, business operations, or related consulting activities. 

  • Experience preparing technical documents, reports, briefings, analytical summaries, or recurring project deliverables. 

  • Experience applying standard professional concepts and methodologies to solve structured problems and evaluate identifiable factors. 

  • Experience supporting analysis of datasets, operational information, or system activity to identify trends, anomalies, patterns, or correlations. 

  • Experience coordinating inputs, tracking assigned tasks, documenting work products, and supporting project or analytics teams. 

  • Strong attention to detail and verbal and written communication skills. 

  • Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week. 

What Would Be Nice To Have:

  • Experience supporting fraud analytics programs, financial crime initiatives, investigations support, reporting activities, risk analytics, or federal consulting environments. 

  • Experience supporting data preparation, data quality review, extract, transform, load activities, reporting, or analytical dataset development. 

  • Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. 

  • Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools. 

  • Experience supporting research, documentation, recurring reporting, stakeholder coordination, or technical writing. 

  • Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments. 

  • Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months. 


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

US - VA, Arlington

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.